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Udit013
/
brain-tumor-efficientnetb3

Image Classification
Keras
ONNX
medical-imaging
brain-tumor
efficientnet
Model card Files Files and versions
xet
Community

Instructions to use Udit013/brain-tumor-efficientnetb3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use Udit013/brain-tumor-efficientnetb3 with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://Udit013/brain-tumor-efficientnetb3")
    
  • Notebooks
  • Google Colab
  • Kaggle
brain-tumor-efficientnetb3
93.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Udit013's picture
Udit013
Upload temperature.json with huggingface_hub
9841eb1 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • EfficientNetB3_model_weights.h5
    47.3 MB
    xet
    Upload EfficientNetB3_model_weights.h5 with huggingface_hub about 1 month ago
  • README.md
    762 Bytes
    Upload README.md with huggingface_hub about 1 month ago
  • efficientnetb3.onnx
    46.4 MB
    xet
    Upload efficientnetb3.onnx with huggingface_hub about 1 month ago
  • temperature.json
    39 Bytes
    Upload temperature.json with huggingface_hub about 1 month ago